Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning.

Background: In breast cancer, several gene expression assays have been developed to provide a more personalised treatment. This study focuses on the prediction of two molecular proliferation signatures: an 11-gene proliferation score and the MKI67 proliferation marker gene. The aim was to assess whether these could be predicted from digital whole slide images (WSIs) using deep learning models.

Characterization of patients with schizophrenia and related psychoses: evaluation of different diagnostic procedures.

Background: We aimed at estimating the value of structured interviews, medical records and clinical diagnoses for assessing lifetime diagnosis of patients with schizophrenia. In addition, the validity of the Operational Criteria Checklist (OPCRIT) system was analysed.

Sampling And Methods: Swedish patients (n = 73), diagnosed with schizophrenia and related disorders by their treating physician, were scrutinized.

Evaluation of diagnostic procedures in Swedish patients with schizophrenia and related psychoses.

We aimed to estimate the value of structured interviews, medical records and Swedish register diagnoses for assessing lifetime diagnosis of patients with schizophrenia. Psychiatric records and diagnostic interviews of 143 Swedish patients diagnosed by their treating physician with schizophrenia and related disorders were scrutinized. Based on record analysis only, or a combined record and interview analysis, DSM-IV diagnoses were obtained by the OPCRIT algorithm.